code: def main(unused_arg):
      env = catch.Catch(seed=FLAGS.seed)
      epsilon_cfg = dict(
          init_value=FLAGS.epsilon_begin,
          end_value=FLAGS.epsilon_end,
          transition_steps=FLAGS.epsilon_steps,
          power=1.0,
      )
      agent = DQN(
          observation_spec=env.observation_spec(),
          action_spec=env.action_spec(),
          epsilon_cfg=epsilon_cfg,
          target_period=FLAGS.target_period,
          learning_rate=FLAGS.learning_rate,
      )
  
      accumulator = ReplayBuffer(FLAGS.replay_capacity)
      experiment.run_loop(
          agent=agent,
          environment=env,
          accumulator=accumulator,
          seed=FLAGS.seed,
          batch_size=FLAGS.batch_size,
          train_episodes=FLAGS.train_episodes,
          evaluate_every=FLAGS.evaluate_every,
          eval_episodes=FLAGS.eval_episodes,
      )
  
imports: import collections
  import random
  from absl import app
  from absl import flags
  from bsuite.environments import catch
  import haiku
  from haiku import nets
  import jax
  import jax.numpy
  import numpy
  import optax
  import rlax
  from rlax.examples import experiment
label_desc: Use image node_id 2 for calling a global function with example usage: main(unused_arg) without return types